{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm-payloadcms-plugin-mcp","slug":"payloadcms-plugin-mcp","name":"@payloadcms/plugin-mcp","type":"mcp","url":"https://github.com/payloadcms/payload#readme","page_url":"https://unfragile.ai/payloadcms-plugin-mcp","categories":["mcp-servers"],"tags":["plugin","mcp","model context protocol"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm-payloadcms-plugin-mcp__cap_0","uri":"capability://tool.use.integration.payload.cms.resource.exposure.via.mcp.protocol","name":"payload cms resource exposure via mcp protocol","description":"Exposes Payload CMS collections, globals, and custom resources as MCP tools that AI models can discover and invoke through the Model Context Protocol standard. Implements MCP server interface that translates Payload's REST/GraphQL API surface into MCP-compatible tool definitions with JSON schema validation, enabling Claude and other MCP-compatible models to read/write CMS data without direct API knowledge.","intents":["Enable Claude to query and modify CMS content directly during conversations","Expose CMS collections as discoverable tools for AI agents without hardcoding API endpoints","Allow AI models to understand CMS schema and available operations through introspection","Build AI workflows that read from and write to Payload without custom integration code"],"best_for":["Teams building AI agents that need CMS integration","Developers creating Claude-powered content management interfaces","Payload CMS users wanting to add AI capabilities to their content workflows"],"limitations":["Requires Payload CMS instance to be running and accessible to MCP server","MCP protocol support limited to Claude and other MCP-compatible clients — not compatible with standard REST API consumers","Schema exposure is read-only introspection; actual permissions still governed by Payload's access control layer","No built-in caching of schema definitions — each client connection re-introspects available resources"],"requires":["Payload CMS 2.0+","Node.js 18+","MCP-compatible client (Claude Desktop, or custom MCP client implementation)","Network connectivity between MCP server and Payload instance"],"input_types":["MCP tool call requests with JSON parameters","Collection/global identifiers","Query filters and sort parameters"],"output_types":["JSON-serialized CMS documents","Structured query results","Operation success/error responses"],"categories":["tool-use-integration","api-orchestration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-payloadcms-plugin-mcp__cap_1","uri":"capability://data.processing.analysis.dynamic.mcp.tool.generation.from.payload.schema","name":"dynamic mcp tool generation from payload schema","description":"Automatically generates MCP tool definitions (with JSON schemas, descriptions, and parameter validation) from Payload collection and global configurations at runtime. Introspects Payload's field definitions, access control rules, and relationships to construct MCP-compatible tool schemas without manual tool definition, enabling tools to reflect schema changes without code redeployment.","intents":["Automatically expose new CMS collections as MCP tools when they're added to Payload","Generate accurate JSON schemas for MCP tools based on Payload field types and validation rules","Ensure MCP tool parameters match actual CMS schema without manual synchronization","Allow AI models to understand field requirements and constraints through schema introspection"],"best_for":["Payload CMS instances with frequently changing schemas","Teams wanting zero-configuration MCP exposure of CMS resources","Developers building multi-tenant CMS platforms with dynamic collections"],"limitations":["Schema generation only reflects Payload's field definitions — custom validation logic may not be fully represented in JSON schema","Complex field types (polymorphic blocks, array relationships) may generate verbose or ambiguous schemas","No caching of generated schemas — regeneration on each MCP server startup adds latency","Access control rules are not embedded in tool schemas — authorization still happens server-side"],"requires":["Payload CMS 2.0+ with accessible collection/global configuration","Node.js runtime with access to Payload's internal schema APIs"],"input_types":["Payload collection/global configuration objects","Field type definitions"],"output_types":["JSON Schema objects","MCP tool definition objects with descriptions and parameters"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-payloadcms-plugin-mcp__cap_10","uri":"capability://tool.use.integration.file.and.media.upload.handling.through.mcp.tools","name":"file and media upload handling through mcp tools","description":"Enables MCP tools to handle file uploads to Payload's media collection, supporting base64-encoded file data in tool parameters and automatic storage through Payload's configured storage adapter. Implements file validation, size limits, and metadata extraction, allowing AI models to upload generated or processed files directly to CMS.","intents":["Allow AI to upload generated images, documents, or other files to Payload media collection","Support AI workflows that produce file outputs and need CMS storage","Enable AI-driven file processing and storage automation","Integrate AI-generated content with Payload's media management"],"best_for":["Teams using AI for content generation (images, documents, etc.)","Developers building AI workflows that produce file outputs","Organizations automating media management through AI","Builders creating AI-powered content creation platforms"],"limitations":["Large files (>100MB) may exceed MCP message size limits — requires chunking or streaming","Base64 encoding adds ~33% overhead to file size in tool parameters","File validation is limited to Payload's configured rules — custom validation not supported","No progress tracking for large uploads — AI cannot monitor upload status","Storage adapter must be configured in Payload — MCP cannot change storage backend"],"requires":["Payload CMS 2.0+ with media collection configured","Storage adapter configured (local, S3, etc.)","MCP client capable of base64 encoding files","Sufficient storage quota in configured storage backend"],"input_types":["Base64-encoded file data","File metadata (name, type, size)","Media collection parameters"],"output_types":["Uploaded file metadata","File URLs and storage paths","Media document records"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-payloadcms-plugin-mcp__cap_11","uri":"capability://automation.workflow.versioning.and.draft.management.through.mcp.tools","name":"versioning and draft management through mcp tools","description":"Exposes Payload's versioning system through MCP tools, allowing AI models to create, retrieve, and restore document versions. Supports draft/published workflows where AI can modify drafts without affecting published content, enabling AI-assisted content editing with version history and rollback capabilities.","intents":["Enable AI to create and manage document versions without overwriting published content","Support AI-assisted content editing with version history","Allow AI to restore previous document versions","Implement AI-powered draft workflows and content staging"],"best_for":["Teams with versioning-enabled collections in Payload","Developers building AI-assisted content editing workflows","Organizations requiring content staging and approval","Builders creating AI-powered content management with rollback"],"limitations":["Versioning must be enabled per collection — not available for all collections","Version storage adds database overhead — large version histories may impact performance","Restore operations create new versions — original version is not deleted","No built-in version comparison through MCP — AI cannot see diffs between versions","Version cleanup/pruning requires manual configuration — old versions accumulate"],"requires":["Payload CMS 2.0+ with versioning enabled on collections","Collection configuration with drafts/versions enabled","MCP client capable of invoking version management tools"],"input_types":["Document IDs and version numbers","Draft/published status flags","Version metadata"],"output_types":["Version history with timestamps and authors","Document snapshots at specific versions","Restore operation results"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-payloadcms-plugin-mcp__cap_2","uri":"capability://tool.use.integration.payload.collection.query.and.mutation.execution.via.mcp","name":"payload collection query and mutation execution via mcp","description":"Executes read and write operations against Payload collections through MCP tool invocations, translating MCP tool calls into Payload API queries with full support for filtering, sorting, pagination, and field selection. Implements request validation against Payload's access control layer and field-level permissions, ensuring AI model operations respect CMS authorization rules.","intents":["Query CMS collections with filters and sorting from AI model context","Create, update, and delete CMS documents through AI agent workflows","Paginate large result sets to manage context window usage","Enforce CMS permissions and access control on AI-initiated operations"],"best_for":["AI agents that need to read/write CMS content as part of multi-step workflows","Content management interfaces powered by Claude or other MCP clients","Teams wanting to enforce CMS permissions on AI-initiated changes"],"limitations":["Mutation operations are synchronous — no support for async hooks or background jobs triggered by AI writes","Complex nested mutations (creating documents with related documents) may require multiple sequential MCP calls","File upload operations not supported through MCP tool interface — requires separate file handling","Transaction support depends on underlying Payload database adapter — no MCP-level transaction coordination"],"requires":["Payload CMS 2.0+ with configured collections","API key or authentication token for Payload instance","Network access from MCP server to Payload API"],"input_types":["Collection identifier","Query filters (JSON)","Sort parameters","Pagination parameters (limit, offset)","Document data for mutations"],"output_types":["JSON documents from collections","Paginated result sets with metadata","Mutation operation results (created/updated document IDs)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-payloadcms-plugin-mcp__cap_3","uri":"capability://tool.use.integration.payload.globals.exposure.as.mcp.resources","name":"payload globals exposure as mcp resources","description":"Exposes Payload globals (site-wide configuration, settings, metadata) as readable and writable MCP resources, allowing AI models to access and modify global configuration through the MCP protocol. Implements globals as special MCP tools that operate on singleton documents rather than collections, with schema generation matching Payload's globals field structure.","intents":["Allow AI agents to read site-wide configuration and settings during operations","Enable AI workflows to update global metadata or configuration values","Expose globals schema to AI models for context-aware decision making","Manage site settings through AI-powered interfaces"],"best_for":["CMS instances using Payload globals for site configuration","AI agents that need access to site-wide settings and metadata","Content workflows where global configuration affects AI behavior"],"limitations":["Globals are singleton documents — no pagination or filtering support","Concurrent writes to globals may cause conflicts if multiple AI agents modify simultaneously","No versioning or audit trail for global changes through MCP interface","Global field validation is Payload-side only — MCP schema may not capture all constraints"],"requires":["Payload CMS 2.0+ with configured globals","MCP-compatible client with write capability"],"input_types":["Global identifier","Field updates (JSON)"],"output_types":["Global document (JSON)","Update confirmation with modified fields"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-payloadcms-plugin-mcp__cap_4","uri":"capability://tool.use.integration.mcp.server.lifecycle.management.and.authentication","name":"mcp server lifecycle management and authentication","description":"Manages MCP server initialization, client connection handling, and authentication/authorization for Payload CMS access. Implements MCP server protocol handshake, capability negotiation, and request routing with support for API key or token-based authentication to Payload, ensuring secure communication between MCP clients and CMS resources.","intents":["Start and manage MCP server that exposes Payload CMS to AI clients","Authenticate MCP client requests against Payload credentials","Handle MCP protocol handshake and capability negotiation","Route MCP tool calls to appropriate Payload API endpoints with authentication"],"best_for":["Developers deploying Payload CMS with MCP support","Teams running MCP servers as standalone services or within Payload","Environments requiring secure authentication between MCP clients and CMS"],"limitations":["Authentication model depends on Payload's configured auth strategy — may not support all auth methods","No built-in rate limiting or quota management for MCP requests","Server lifecycle tied to Payload instance — no independent MCP server scaling","Client connection state not persisted — reconnection requires re-authentication"],"requires":["Payload CMS 2.0+ running and accessible","Node.js 18+ runtime","Valid Payload API credentials or authentication tokens","Network configuration allowing MCP client connections"],"input_types":["MCP client connection requests","Authentication credentials (API key, token)","Tool invocation requests"],"output_types":["MCP server capabilities advertisement","Authentication success/failure responses","Tool execution results"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-payloadcms-plugin-mcp__cap_5","uri":"capability://data.processing.analysis.relationship.and.reference.resolution.in.mcp.queries","name":"relationship and reference resolution in mcp queries","description":"Resolves Payload relationship fields and document references when returning query results through MCP, allowing AI models to access related documents and understand data relationships. Implements configurable relationship population (eager loading) with depth control to manage context window usage while providing meaningful relationship context to AI agents.","intents":["Return related documents when querying collections with relationship fields","Allow AI models to understand document relationships without separate queries","Control relationship depth to balance context richness with token usage","Enable AI agents to navigate document graphs through MCP queries"],"best_for":["CMS instances with complex document relationships","AI workflows that need relationship context for decision making","Agents building content recommendations or cross-references"],"limitations":["Deep relationship population increases response size and token usage — may exceed context limits","Circular relationships can cause infinite recursion without depth limits","Relationship population is eager-loaded — no lazy loading support through MCP","Polymorphic relationships may return ambiguous types in MCP schema"],"requires":["Payload collections with relationship fields configured","MCP tool parameters supporting depth/population configuration"],"input_types":["Collection query with relationship fields","Population depth parameter"],"output_types":["Documents with nested related documents","Flattened relationship references"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-payloadcms-plugin-mcp__cap_6","uri":"capability://safety.moderation.field.level.access.control.enforcement.on.mcp.operations","name":"field-level access control enforcement on mcp operations","description":"Enforces Payload's field-level access control rules on MCP tool invocations, filtering returned fields and blocking mutations on restricted fields based on the authenticated user's permissions. Implements permission checking at the MCP layer before executing Payload operations, ensuring AI models cannot access or modify fields outside their authorization scope.","intents":["Restrict AI model access to sensitive fields based on user permissions","Prevent AI agents from modifying protected fields through MCP","Enforce field-level security consistently across MCP and other API access","Filter query results to only include fields the AI client is authorized to see"],"best_for":["Multi-user CMS environments with field-level permissions","Teams requiring strict data access control for AI operations","Regulated industries needing audit trails of field access"],"limitations":["Field filtering happens at MCP layer — requires re-evaluation on each request (no caching)","Complex permission rules may not be fully expressible in MCP schema","No audit logging of field access through MCP — requires separate logging implementation","Permission evaluation depends on Payload's access control system — custom rules may not be supported"],"requires":["Payload CMS 2.0+ with field-level access control configured","Authenticated user context passed to MCP server"],"input_types":["User authentication context","Field access requests"],"output_types":["Filtered documents with only authorized fields","Access denied errors for unauthorized operations"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-payloadcms-plugin-mcp__cap_7","uri":"capability://tool.use.integration.mcp.tool.discovery.and.capability.advertisement","name":"mcp tool discovery and capability advertisement","description":"Advertises available MCP tools (collections, globals, custom operations) to clients during protocol handshake, allowing AI models to discover what CMS operations are available without hardcoding tool definitions. Implements MCP capability negotiation with dynamic tool listing based on Payload schema and user permissions, enabling clients to adapt behavior based on available resources.","intents":["Allow AI models to discover available CMS collections and operations","Advertise tool capabilities and parameters to MCP clients","Enable dynamic tool selection based on what's available in the CMS","Provide schema information for tool parameters and return types"],"best_for":["AI agents that need to discover available CMS operations dynamically","Multi-tenant CMS platforms with varying available collections per tenant","Clients building adaptive workflows based on available tools"],"limitations":["Tool discovery happens at connection time — schema changes require reconnection","Large numbers of collections may create verbose capability advertisements","Tool descriptions are auto-generated from schema — may lack semantic meaning for AI models","No filtering of tools based on user permissions in capability advertisement (filtering happens at execution)"],"requires":["MCP-compatible client supporting tool discovery","Payload CMS with accessible schema information"],"input_types":["MCP capability negotiation request"],"output_types":["Tool list with descriptions and parameters","Capability advertisement object"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-payloadcms-plugin-mcp__cap_8","uri":"capability://automation.workflow.batch.operations.and.bulk.data.modification","name":"batch operations and bulk data modification","description":"Supports batch create, update, and delete operations through MCP tools, allowing AI models to modify multiple documents in a single tool invocation. Implements batch processing with partial failure handling, returning success/failure status per document while maintaining transactional semantics where possible.","intents":["Enable AI to modify multiple CMS documents in a single operation","Support bulk content updates and migrations triggered by AI","Improve performance of multi-document AI workflows","Allow AI to handle partial failures gracefully in batch operations"],"best_for":["Teams automating bulk content updates through AI","Developers building AI-powered content migration tools","Organizations with high-volume content modification needs","Builders creating AI-driven content curation workflows"],"limitations":["Batch operations are not atomic — partial failures require manual rollback","Large batches (1000+ documents) may timeout or exceed memory limits","Hooks execute per-document — batch operations can be slow with complex hooks","No built-in deduplication — AI must avoid duplicate IDs in batch requests","Error handling is per-document — AI must parse and handle individual failures"],"requires":["Payload CMS 2.0+ with batch operation support","MCP client capable of passing arrays of documents","Sufficient server resources for batch processing"],"input_types":["Arrays of document objects for create/update","Arrays of document IDs for delete","Batch operation parameters"],"output_types":["Array of operation results (success/failure per document)","Batch summary (total, succeeded, failed)","Error details for failed operations"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-payloadcms-plugin-mcp__cap_9","uri":"capability://automation.workflow.real.time.change.notifications.and.webhooks","name":"real-time change notifications and webhooks","description":"Exposes Payload's webhook system through MCP, allowing AI clients to subscribe to content change events and receive notifications when documents are created, updated, or deleted. Implements event filtering by collection and operation type, enabling AI agents to react to CMS changes in real-time.","intents":["Enable AI agents to react to CMS content changes in real-time","Support event-driven AI workflows triggered by document modifications","Allow AI to monitor specific collections for changes","Implement AI-powered content synchronization and downstream updates"],"best_for":["Teams building event-driven AI workflows","Developers creating AI agents that react to content changes","Organizations with real-time content synchronization needs","Builders automating downstream systems based on CMS changes"],"limitations":["Webhooks are asynchronous — no guarantee of delivery or ordering","MCP protocol does not natively support server-push notifications — requires polling or custom transport","Webhook payload size is limited — large documents may be truncated","No built-in retry logic — failed webhook deliveries require manual handling","Event filtering is limited to collection and operation type — no field-level filtering"],"requires":["Payload CMS 2.0+ with webhooks configured","MCP client capable of receiving notifications (custom implementation)","Network connectivity for webhook delivery"],"input_types":["Webhook subscription parameters (collection, operation type)","Webhook configuration (URL, headers, retry policy)"],"output_types":["Change event notifications","Document snapshots (before/after)","Operation metadata (user, timestamp)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":41,"verified":false,"data_access_risk":"high","permissions":["Payload CMS 2.0+","Node.js 18+","MCP-compatible client (Claude Desktop, or custom MCP client implementation)","Network connectivity between MCP server and Payload instance","Payload CMS 2.0+ with accessible collection/global configuration","Node.js runtime with access to Payload's internal schema APIs","Payload CMS 2.0+ with media collection configured","Storage adapter configured (local, S3, etc.)","MCP client capable of base64 encoding files","Sufficient storage quota in configured storage backend"],"failure_modes":["Requires Payload CMS instance to be running and accessible to MCP server","MCP protocol support limited to Claude and other MCP-compatible clients — not compatible with standard REST API consumers","Schema exposure is read-only introspection; actual permissions still governed by Payload's access control layer","No built-in caching of schema definitions — each client connection re-introspects available resources","Schema generation only reflects Payload's field definitions — custom validation logic may not be fully represented in JSON schema","Complex field types (polymorphic blocks, array relationships) may generate verbose or ambiguous schemas","No caching of generated schemas — regeneration on each MCP server startup adds latency","Access control rules are not embedded in tool schemas — authorization still happens server-side","Large files (>100MB) may exceed MCP message size limits — requires chunking or streaming","Base64 encoding adds ~33% overhead to file size in tool parameters","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.5338484953702735,"quality":0.34,"ecosystem":0.48999999999999994,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.902Z","last_scraped_at":"2026-05-03T14:04:47.472Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":23346,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=payloadcms-plugin-mcp","compare_url":"https://unfragile.ai/compare?artifact=payloadcms-plugin-mcp"}},"signature":"kQDScfW16fA9UZIO1Okuiwxf25ql5mLgfRHymTVr5gSOt1qj64QaIXDOXfS4Q0QUrmjolubmOlmpCmvxo2AsBA==","signedAt":"2026-06-22T14:09:37.106Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/payloadcms-plugin-mcp","artifact":"https://unfragile.ai/payloadcms-plugin-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=payloadcms-plugin-mcp","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}